1 00:00:00,320 --> 00:00:02,800 Speaker 1: How I Work is having a little break for a 2 00:00:02,840 --> 00:00:05,880 Speaker 1: couple of weeks over Easter, so I have hand picked 3 00:00:06,160 --> 00:00:09,360 Speaker 1: some of my absolute favorite episodes from the last year 4 00:00:09,400 --> 00:00:12,200 Speaker 1: to play for you, and I'll be back with new 5 00:00:12,240 --> 00:00:17,040 Speaker 1: interviews from Thursday, May one. Like many of us, you 6 00:00:17,280 --> 00:00:20,919 Speaker 1: probably spend a significant amount of your week in meetings, 7 00:00:21,560 --> 00:00:25,600 Speaker 1: But how many of those meetings actually feel productive? Are 8 00:00:25,640 --> 00:00:29,120 Speaker 1: they driving your team forward or just draining time and energy. 9 00:00:30,120 --> 00:00:33,280 Speaker 1: Today we're going to learn how to change that and 10 00:00:33,320 --> 00:00:36,639 Speaker 1: turn meetings into one of the most powerful tools in 11 00:00:36,680 --> 00:00:41,960 Speaker 1: your toolkit. I'm thrilled to have Professor Stephen Rogelberg back 12 00:00:42,280 --> 00:00:45,280 Speaker 1: on How I Work to help us make the most 13 00:00:45,360 --> 00:00:49,120 Speaker 1: of our meetings. Stephen is an organizational psychologist and a 14 00:00:49,159 --> 00:00:53,800 Speaker 1: professor who has received awards for his research into meeting effectiveness, 15 00:00:54,320 --> 00:00:58,440 Speaker 1: and Adam Grant has even described Stephen as the world's 16 00:00:58,600 --> 00:01:02,720 Speaker 1: leading expert on how to fix meetings. In this episode, 17 00:01:02,720 --> 00:01:06,200 Speaker 1: Stephen will reveal the common mistakes we all make when 18 00:01:06,240 --> 00:01:08,800 Speaker 1: it comes to meetings, how to prepare a meeting for 19 00:01:08,840 --> 00:01:12,880 Speaker 1: success before it even starts, and how you can be 20 00:01:13,040 --> 00:01:24,199 Speaker 1: the most effective meeting leader ever. Welcome to How I Work, 21 00:01:24,400 --> 00:01:28,560 Speaker 1: a show about habits rituals and strategies for optimizing your day. 22 00:01:29,160 --> 00:01:32,959 Speaker 1: I'm your host, doctor Amantha Imber. According to Stephen, there 23 00:01:33,120 --> 00:01:37,520 Speaker 1: are about one billion meetings held around the world every day. 24 00:01:38,319 --> 00:01:41,679 Speaker 1: That is a lot of meetings, and I think we 25 00:01:41,720 --> 00:01:44,440 Speaker 1: can be sure not all of them actually need to happen. 26 00:01:45,240 --> 00:01:47,720 Speaker 1: So the first rule for holding an effective meeting is 27 00:01:47,760 --> 00:01:50,080 Speaker 1: to figure out if you even need to be having 28 00:01:50,120 --> 00:01:52,320 Speaker 1: a meeting in the first place. You know, the saying 29 00:01:52,560 --> 00:01:55,960 Speaker 1: this meeting could have been an email. But how exactly 30 00:01:56,000 --> 00:01:58,720 Speaker 1: do you figure out if something deserves a meeting or not? 31 00:02:00,080 --> 00:02:02,480 Speaker 1: Even this is apparently quite simple. 32 00:02:05,360 --> 00:02:08,960 Speaker 2: Well, the general rule of thumb is that a you 33 00:02:09,040 --> 00:02:12,840 Speaker 2: have a compelling topic, and b that compelling topic needs 34 00:02:13,040 --> 00:02:17,520 Speaker 2: engagement and involvement. Right, So there's that two pieces to it. 35 00:02:17,560 --> 00:02:21,160 Speaker 2: If something is not compelling or doesn't need engagement, then 36 00:02:21,280 --> 00:02:22,120 Speaker 2: you don't need a meeting. 37 00:02:22,280 --> 00:02:26,080 Speaker 1: You make it sound so simple. Are there some rules 38 00:02:26,080 --> 00:02:29,799 Speaker 1: of thumb or different categories of things that we might 39 00:02:29,880 --> 00:02:32,440 Speaker 1: want to be talking about that we can go Yes, 40 00:02:32,520 --> 00:02:33,919 Speaker 1: that definitely needs a meeting? 41 00:02:34,480 --> 00:02:39,720 Speaker 2: No, there isn't. There really is just this general intentionality 42 00:02:39,919 --> 00:02:42,880 Speaker 2: to step back and say, Okay, I'm putting this together. 43 00:02:42,960 --> 00:02:45,320 Speaker 2: Who really needs to be there and do I need 44 00:02:45,360 --> 00:02:48,080 Speaker 2: to actually have this meeting. But let me tell you 45 00:02:48,480 --> 00:02:51,280 Speaker 2: a technique, right that can be helpful because I know 46 00:02:51,520 --> 00:02:55,680 Speaker 2: you like specifics and practical tips, so let me share 47 00:02:55,840 --> 00:02:59,359 Speaker 2: one of that you obviously know about agendas, and agendas 48 00:02:59,400 --> 00:03:03,440 Speaker 2: are typically organized by topics. So what I want to 49 00:03:03,560 --> 00:03:06,240 Speaker 2: challenge meeting leaders to do is to organize their agenda 50 00:03:06,280 --> 00:03:09,520 Speaker 2: as a set of questions to be answered. By framing 51 00:03:09,520 --> 00:03:11,680 Speaker 2: your agenda's questions to be answered, now you actually have 52 00:03:11,760 --> 00:03:15,960 Speaker 2: to stop and really think about why you're having this meeting, right, 53 00:03:16,000 --> 00:03:19,440 Speaker 2: it's to answer these questions. So that's a way of 54 00:03:19,639 --> 00:03:22,120 Speaker 2: addressing one of the things you talked about. By framing 55 00:03:22,160 --> 00:03:25,840 Speaker 2: your agenda's questions, you now have a better sense of 56 00:03:25,840 --> 00:03:28,079 Speaker 2: who to invite the relevant to the questions. You know 57 00:03:28,120 --> 00:03:31,120 Speaker 2: if the meeting has been successful, the questions have been answered. 58 00:03:31,880 --> 00:03:34,960 Speaker 2: Questions creates an engaging challenge for attendees that brings them 59 00:03:34,960 --> 00:03:40,960 Speaker 2: in and to your question. By framing, if you just 60 00:03:41,000 --> 00:03:44,240 Speaker 2: can't think of any questions, a likely means you don't 61 00:03:44,280 --> 00:03:48,600 Speaker 2: need a meeting. So I think this question based approach 62 00:03:48,960 --> 00:03:51,880 Speaker 2: can serve as a nice litmus test for figuring out 63 00:03:52,040 --> 00:03:53,480 Speaker 2: whether you need a meeting or not. 64 00:03:53,720 --> 00:03:56,280 Speaker 1: Now you mentioned that questions will help us figure out 65 00:03:56,320 --> 00:03:59,360 Speaker 1: who to invite. What should we be thinking if we 66 00:03:59,440 --> 00:04:03,440 Speaker 1: are the meeting organizer and we're deciding who should I invite, 67 00:04:03,480 --> 00:04:07,640 Speaker 1: and maybe we're questioning, oh, we're borderline on some people, Yeah, 68 00:04:07,680 --> 00:04:08,280 Speaker 1: what should we do? 69 00:04:08,560 --> 00:04:12,360 Speaker 2: So it's almost like think about planning a wedding. Right 70 00:04:12,400 --> 00:04:14,600 Speaker 2: when we plan a wedding, we know who has to 71 00:04:14,640 --> 00:04:17,240 Speaker 2: be there, and then we know, well, these people might 72 00:04:17,279 --> 00:04:19,719 Speaker 2: be nice to have. The must haves are very clear. 73 00:04:20,000 --> 00:04:22,520 Speaker 2: It's the nice hat to haves that gets it's in trouble, 74 00:04:22,760 --> 00:04:25,200 Speaker 2: especially because once we invite one of the nice to haves, 75 00:04:25,480 --> 00:04:29,159 Speaker 2: then we feel pressure to invite additional ones. So the 76 00:04:29,240 --> 00:04:32,880 Speaker 2: general thinking is, let's identify the must haves and then 77 00:04:32,920 --> 00:04:35,800 Speaker 2: the nice to haves. Let's just have a separate conversation 78 00:04:35,920 --> 00:04:38,080 Speaker 2: with them. Let's tell them, Hey, we're having a meeting 79 00:04:38,160 --> 00:04:40,919 Speaker 2: around X, Y and Z. I don't think it's highly 80 00:04:40,960 --> 00:04:43,040 Speaker 2: relevant to you. If you have any input on it, 81 00:04:43,320 --> 00:04:45,800 Speaker 2: let me know. If not, you know, I'm going to 82 00:04:45,880 --> 00:04:47,400 Speaker 2: keep you in the loops so you can decide to 83 00:04:47,440 --> 00:04:50,480 Speaker 2: attend future meetings if you like. When you do that, 84 00:04:50,600 --> 00:04:52,480 Speaker 2: when you kind of close the loop, in some way 85 00:04:52,640 --> 00:04:55,880 Speaker 2: for these nice to haves, and you do deliver some 86 00:04:56,000 --> 00:04:59,440 Speaker 2: quick meeting notes like, they are so relieved, they are 87 00:04:59,480 --> 00:05:04,440 Speaker 2: so grateful that you're respecting their time. So really, I 88 00:05:04,440 --> 00:05:07,560 Speaker 2: think the exercise is to think of this. I do 89 00:05:07,600 --> 00:05:10,200 Speaker 2: think this wedding analogy works. You know, this whole must 90 00:05:10,200 --> 00:05:12,440 Speaker 2: have nice to have. Focus on the must haves and 91 00:05:12,480 --> 00:05:14,359 Speaker 2: the nice to haves. Let's give them a break and 92 00:05:14,360 --> 00:05:17,680 Speaker 2: figure out another way that they can still be in 93 00:05:17,720 --> 00:05:20,839 Speaker 2: the loop. Provides some input without losing their time. 94 00:05:21,279 --> 00:05:24,800 Speaker 1: What else can we do before the meeting to give 95 00:05:24,839 --> 00:05:26,440 Speaker 1: it the best chance of success. 96 00:05:26,960 --> 00:05:29,600 Speaker 2: Well, let me frame it this way. In our research, 97 00:05:30,520 --> 00:05:33,000 Speaker 2: the best meeting leaders appear to have something in common, 98 00:05:33,360 --> 00:05:36,000 Speaker 2: and what they have in common is a similar mindset, 99 00:05:36,360 --> 00:05:40,479 Speaker 2: and that mindset is a mindset of stewardship. They're a 100 00:05:40,560 --> 00:05:43,960 Speaker 2: steward of others' time. The thought of people leaving their 101 00:05:44,000 --> 00:05:46,520 Speaker 2: meetings saying it was a waste is so uncomfortable to 102 00:05:46,560 --> 00:05:53,240 Speaker 2: them that they act with intentionality. And this intentionality is 103 00:05:54,120 --> 00:05:57,159 Speaker 2: instead of just you know, dialing the meeting in using 104 00:05:57,240 --> 00:06:01,479 Speaker 2: default calendar settings, right, you're making choices. You're saying, Okay, 105 00:06:01,720 --> 00:06:04,039 Speaker 2: I'm having this meeting. This is how long I think 106 00:06:04,040 --> 00:06:07,320 Speaker 2: it should be, this is who must be there, So 107 00:06:07,400 --> 00:06:10,600 Speaker 2: you're just being intentional. And furthermore, one of the things 108 00:06:10,640 --> 00:06:12,800 Speaker 2: I talk about in my book is this idea of 109 00:06:12,839 --> 00:06:17,599 Speaker 2: a pre mortem, and a pre mortem is where you 110 00:06:17,640 --> 00:06:21,640 Speaker 2: start to think about what are the potential challenges and 111 00:06:21,720 --> 00:06:25,440 Speaker 2: problems that could arise in the meeting? And given that, 112 00:06:26,120 --> 00:06:29,159 Speaker 2: how should I design the meeting? And so it's just 113 00:06:29,240 --> 00:06:31,960 Speaker 2: stepping back and giving it a little bit of thought. 114 00:06:32,880 --> 00:06:37,560 Speaker 2: And interestingly, we act with intentionality all the time when 115 00:06:37,600 --> 00:06:40,840 Speaker 2: we're meeting with important stakeholders because we don't want those 116 00:06:40,839 --> 00:06:43,080 Speaker 2: people to leave the meeting saying that was a waste 117 00:06:43,080 --> 00:06:46,920 Speaker 2: of time. But we typically don't act with intentionality when 118 00:06:46,920 --> 00:06:50,159 Speaker 2: it comes to meeting with our peers or directs. So 119 00:06:50,360 --> 00:06:53,679 Speaker 2: this intentionality is just saying, all right, people are giving 120 00:06:53,680 --> 00:06:56,240 Speaker 2: me the biggest gift. They have their time, so how 121 00:06:56,279 --> 00:07:01,279 Speaker 2: can I honor that time? And so are you? Tightness 122 00:07:01,320 --> 00:07:03,640 Speaker 2: of invites ordering of the agenda, right, hit the most 123 00:07:03,640 --> 00:07:07,240 Speaker 2: important things first, you know, not the superficial stuff. Right, 124 00:07:07,320 --> 00:07:10,120 Speaker 2: Keep the meeting as short and tight as possible. You 125 00:07:10,160 --> 00:07:12,520 Speaker 2: can always find more time to meet. But we know 126 00:07:12,680 --> 00:07:15,480 Speaker 2: from Parkinson's law that work expands to fill whatever time 127 00:07:15,560 --> 00:07:18,280 Speaker 2: is a loted do it, so keep it tight, you'll 128 00:07:18,280 --> 00:07:21,680 Speaker 2: get it done. And those are some really important intentional 129 00:07:22,160 --> 00:07:23,880 Speaker 2: design factors to keep in mind. 130 00:07:24,000 --> 00:07:27,040 Speaker 1: What else have you found that the best meeting leaders 131 00:07:27,320 --> 00:07:28,040 Speaker 1: have in common? 132 00:07:28,440 --> 00:07:31,040 Speaker 2: So that's the main one, but then there's other ones 133 00:07:31,120 --> 00:07:35,800 Speaker 2: that fall from that. For example, facilitation when one of 134 00:07:35,840 --> 00:07:40,640 Speaker 2: the best predictors of people's perceptions of an ineffective meeting 135 00:07:41,360 --> 00:07:44,400 Speaker 2: is the leader doing more talking than the attendees. The 136 00:07:44,400 --> 00:07:47,720 Speaker 2: more the leader talks, the more the ratings go down. 137 00:07:48,320 --> 00:07:50,280 Speaker 2: And that makes a heck of a lot of sense, 138 00:07:50,360 --> 00:07:53,360 Speaker 2: right because the leader is supposed to be facilitating. That's 139 00:07:53,440 --> 00:07:56,080 Speaker 2: their job, right, They've called this party together and their 140 00:07:56,160 --> 00:07:58,560 Speaker 2: job is to get these voices out. It doesn't mean 141 00:07:58,560 --> 00:08:00,720 Speaker 2: that they can't talk during it, but the mean it 142 00:08:00,760 --> 00:08:03,800 Speaker 2: does mean that they shouldn't be dominating because they invited people. 143 00:08:03,800 --> 00:08:06,240 Speaker 2: If they dominate, the meeting could have just been an email. 144 00:08:07,120 --> 00:08:11,880 Speaker 2: So that propensity to facilitate is really critical. And what 145 00:08:12,080 --> 00:08:16,400 Speaker 2: underlies that is this desire to listen, right, to truly 146 00:08:17,240 --> 00:08:21,200 Speaker 2: engage and include. And then the other characteristic of really 147 00:08:21,200 --> 00:08:27,440 Speaker 2: good meeting leaders is they understand that meetings need an end. 148 00:08:27,680 --> 00:08:32,600 Speaker 2: Ding So we know meetings end, right, Everything ends, But 149 00:08:32,960 --> 00:08:34,760 Speaker 2: an ending is something different. 150 00:08:35,120 --> 00:08:35,280 Speaker 1: Right. 151 00:08:35,320 --> 00:08:39,160 Speaker 2: An ending is where you stop three to five minutes 152 00:08:39,200 --> 00:08:42,240 Speaker 2: before the end and you say, okay, well did we 153 00:08:42,280 --> 00:08:45,040 Speaker 2: actually decide and for each of these things, who is 154 00:08:45,080 --> 00:08:49,160 Speaker 2: the dri the directly responsible individual? And what did we 155 00:08:49,280 --> 00:08:51,679 Speaker 2: not decide? You know, so we know that these are 156 00:08:51,720 --> 00:08:54,920 Speaker 2: things that we have to discuss at another time. At 157 00:08:54,920 --> 00:08:59,200 Speaker 2: the same time, during this ending, you're recording this key information, 158 00:08:59,280 --> 00:09:01,840 Speaker 2: so you're not a ten can stay in the loop. 159 00:09:02,720 --> 00:09:07,760 Speaker 2: So that is another key thing that really differentiates excellent 160 00:09:07,760 --> 00:09:10,360 Speaker 2: meeting leaders from not so excellent meeting leaders. 161 00:09:10,720 --> 00:09:13,240 Speaker 1: What else can we do during a meeting to get 162 00:09:13,280 --> 00:09:17,280 Speaker 1: the best outcome, whether that be facilitation techniques that work 163 00:09:17,480 --> 00:09:19,160 Speaker 1: or other strategies that you found. 164 00:09:19,320 --> 00:09:22,640 Speaker 2: I mean, facilitation is absolutely the most key, but you know, 165 00:09:22,679 --> 00:09:26,640 Speaker 2: there's lots of different ways to have a meeting. And so, 166 00:09:26,760 --> 00:09:32,320 Speaker 2: for example, silence in meetings is phenomenal. The research shows 167 00:09:32,360 --> 00:09:35,559 Speaker 2: that when people brainstorm in silence typing directly into their computers, 168 00:09:35,559 --> 00:09:37,960 Speaker 2: they generate nearly twice as many ideas, and the ideas 169 00:09:38,040 --> 00:09:40,520 Speaker 2: tend to be more creative, right because everyone can talk 170 00:09:40,520 --> 00:09:43,079 Speaker 2: at once and you're not influenced by that very first 171 00:09:43,080 --> 00:09:47,000 Speaker 2: thing you hear, so a meeting leader can say, okay, 172 00:09:47,040 --> 00:09:50,719 Speaker 2: depending on what we're trying to solve, Maybe silent brainstorming 173 00:09:50,840 --> 00:09:53,920 Speaker 2: could be really meaningful. Again, depending on what you want 174 00:09:53,960 --> 00:09:57,640 Speaker 2: to solve, Sometimes a standing meeting is really a helpful. 175 00:09:58,120 --> 00:10:01,120 Speaker 2: Standing meetings generally take half as much time and yield 176 00:10:01,160 --> 00:10:05,760 Speaker 2: the same quality decisions. You might choose to get people 177 00:10:05,800 --> 00:10:09,960 Speaker 2: into pairs before the conversation. What we've found is that 178 00:10:10,000 --> 00:10:12,400 Speaker 2: when you tell people, hey, again, to pairs and start 179 00:10:12,400 --> 00:10:15,120 Speaker 2: to talk about this problem or issue for just three 180 00:10:15,200 --> 00:10:17,679 Speaker 2: minutes and then we'll all come together. When you do 181 00:10:17,800 --> 00:10:20,400 Speaker 2: that and then you return to the big group, people 182 00:10:20,480 --> 00:10:25,000 Speaker 2: are participating, right, you've kind of greased the rails. So 183 00:10:25,080 --> 00:10:29,080 Speaker 2: that's another technique that could be super helpful. So there's 184 00:10:29,240 --> 00:10:33,320 Speaker 2: lots of choices, and that's I think a really key 185 00:10:33,920 --> 00:10:37,600 Speaker 2: takeaway for your listeners is that we need meeting leaders 186 00:10:38,200 --> 00:10:41,640 Speaker 2: to think about things and make choices. You know, we 187 00:10:41,800 --> 00:10:44,720 Speaker 2: have around a billion meetings a day around the globe 188 00:10:45,120 --> 00:10:49,000 Speaker 2: and they generally all look the same. That's not good, right, 189 00:10:49,040 --> 00:10:52,600 Speaker 2: Let's mix it up. Let's change it up and position 190 00:10:52,840 --> 00:10:56,240 Speaker 2: yourself as a leader as part of the solution, as 191 00:10:56,280 --> 00:10:57,720 Speaker 2: opposed to being part of the problem. 192 00:10:57,920 --> 00:11:01,160 Speaker 1: Have you seen particularly effective ways to open a meeting, 193 00:11:01,400 --> 00:11:05,400 Speaker 1: whether it be effective, creative, what have you seen that works? 194 00:11:05,800 --> 00:11:08,960 Speaker 2: So the opening of a meeting is indeed important, and 195 00:11:09,200 --> 00:11:12,000 Speaker 2: the best practice is after you know, three to five 196 00:11:12,040 --> 00:11:15,480 Speaker 2: minutes of just kind of conversation and some quick notes, 197 00:11:15,520 --> 00:11:19,280 Speaker 2: you go hard on the most important topic. It's also 198 00:11:19,559 --> 00:11:22,160 Speaker 2: at times helpful for the meeting leader to start the 199 00:11:22,200 --> 00:11:25,200 Speaker 2: meeting sharing what her hopes are for the meeting. That 200 00:11:25,280 --> 00:11:26,920 Speaker 2: you know, right when you say listen, I really want 201 00:11:26,920 --> 00:11:29,640 Speaker 2: everyone to engage. You're here because I need your voice. 202 00:11:29,960 --> 00:11:32,400 Speaker 2: We also need people to disagree with one another, not 203 00:11:32,480 --> 00:11:36,040 Speaker 2: personally but about ideas, right, So starting the meeting with 204 00:11:36,080 --> 00:11:40,120 Speaker 2: some expectations increases the chances of those behaviors happening. So 205 00:11:40,160 --> 00:11:43,720 Speaker 2: that's really valuable. Another key thing is, you know, a 206 00:11:43,760 --> 00:11:46,840 Speaker 2: meeting leader has to recognize that they are inherently a host, 207 00:11:47,120 --> 00:11:50,360 Speaker 2: right they call this meeting party together. So what does 208 00:11:50,400 --> 00:11:54,120 Speaker 2: a host do? A host welcomes people, a host makes introductions. 209 00:11:54,600 --> 00:11:58,720 Speaker 2: A host is also sensitive to their own mood state. Interestingly, 210 00:11:58,760 --> 00:12:01,360 Speaker 2: one of the best predictors the mood of a meeting 211 00:12:01,600 --> 00:12:04,680 Speaker 2: is the mood of the leader coming into the meeting 212 00:12:05,320 --> 00:12:08,400 Speaker 2: and mood actually matters. When the mood of the meeting 213 00:12:08,440 --> 00:12:11,120 Speaker 2: is better, people listen to one another, they tend to 214 00:12:11,160 --> 00:12:14,199 Speaker 2: be more creative, and they tend to disagree more constructively. 215 00:12:14,640 --> 00:12:17,520 Speaker 2: So those are some really key things that leaders can 216 00:12:17,559 --> 00:12:18,600 Speaker 2: do at the start. 217 00:12:19,000 --> 00:12:22,400 Speaker 1: It's interesting about mood. What can we do if we 218 00:12:22,520 --> 00:12:25,040 Speaker 1: know that the meeting is going to be a difficult 219 00:12:25,040 --> 00:12:28,440 Speaker 1: one in terms of the conversation that we're tackling. What 220 00:12:28,480 --> 00:12:30,319 Speaker 1: can we do to give that meeting the best chance 221 00:12:30,320 --> 00:12:30,920 Speaker 1: of success. 222 00:12:31,520 --> 00:12:33,800 Speaker 2: Well, I think I'm going to circle back to what 223 00:12:33,840 --> 00:12:36,640 Speaker 2: I mentioned earlier about this idea of framing your agenda 224 00:12:36,679 --> 00:12:40,200 Speaker 2: as questions to be answered. So now when you submit 225 00:12:40,240 --> 00:12:44,440 Speaker 2: that agenda, you are signaling very clearly what's going to happen. 226 00:12:44,920 --> 00:12:48,000 Speaker 2: Most of these agendas actually don't really do a good 227 00:12:48,080 --> 00:12:52,480 Speaker 2: job signaling to people what's the critical matters. So I 228 00:12:52,480 --> 00:12:56,320 Speaker 2: think that that is a really useful strategy for getting 229 00:12:56,320 --> 00:12:59,440 Speaker 2: people ready to go and to participate. 230 00:12:59,679 --> 00:13:02,920 Speaker 1: We'll be back with Stevens soon and when we return, 231 00:13:03,000 --> 00:13:06,560 Speaker 1: he'll be sharing some of the quirkier, unique things that 232 00:13:06,600 --> 00:13:09,000 Speaker 1: you can do to engage people in a meeting and 233 00:13:09,040 --> 00:13:13,680 Speaker 1: what the biggest predictors of meeting satisfaction are. If you're 234 00:13:13,760 --> 00:13:16,440 Speaker 1: looking for more tips to improve the way you work 235 00:13:16,440 --> 00:13:19,880 Speaker 1: can live. I write a short weekly newsletter that contains 236 00:13:19,920 --> 00:13:23,120 Speaker 1: tactics I've discovered that have helped me personally. You can 237 00:13:23,120 --> 00:13:27,080 Speaker 1: sign up for that at Amantha dot com. That's Amantha 238 00:13:27,440 --> 00:13:34,800 Speaker 1: dot com. What else can we do during the meeting? 239 00:13:34,800 --> 00:13:38,200 Speaker 1: What are some of the more quirkier techniques that you've 240 00:13:38,200 --> 00:13:41,280 Speaker 1: seen to engage people and get the best out of people? 241 00:13:41,840 --> 00:13:45,120 Speaker 2: So the silent one certainly is quirky, but I'll add 242 00:13:45,240 --> 00:13:48,640 Speaker 2: that interestingly, taking a break. You know, even if you 243 00:13:48,679 --> 00:13:51,160 Speaker 2: have a sixty minute meeting, taking a three minute break 244 00:13:51,200 --> 00:13:55,280 Speaker 2: in the middle of the meeting is quirky and really effective. Generally, 245 00:13:55,720 --> 00:13:57,320 Speaker 2: it does a couple of things. First of all, we 246 00:13:57,400 --> 00:14:00,480 Speaker 2: all know that people are technology addicted, so that little 247 00:14:00,520 --> 00:14:02,920 Speaker 2: break people can check their phones as opposed to doing 248 00:14:02,960 --> 00:14:06,120 Speaker 2: it during the meeting. Next, what typically happens when you 249 00:14:06,160 --> 00:14:10,920 Speaker 2: have a break is after that break, someone will say, hey, 250 00:14:11,160 --> 00:14:14,800 Speaker 2: I was also thinking about X right, Because typically meetings 251 00:14:14,840 --> 00:14:17,199 Speaker 2: are kind of like a runaway train. They get momentum, 252 00:14:17,600 --> 00:14:20,360 Speaker 2: and when you have a break, it breaks that momentum 253 00:14:20,440 --> 00:14:24,880 Speaker 2: and allows for other content to emerge. So that's another 254 00:14:25,160 --> 00:14:29,120 Speaker 2: interesting possibility. That you can play with. The Other thing 255 00:14:29,360 --> 00:14:32,520 Speaker 2: that maybe is a little quirky that works is to 256 00:14:32,640 --> 00:14:36,200 Speaker 2: do some of these voting apps to test consensus. We 257 00:14:36,320 --> 00:14:39,920 Speaker 2: often rely on determining whether there's consensus based on the 258 00:14:39,960 --> 00:14:43,040 Speaker 2: loudest voices, and that's not effective. So if we quickly 259 00:14:43,160 --> 00:14:44,800 Speaker 2: stop and say, hey, you know, I want to get 260 00:14:44,800 --> 00:14:47,280 Speaker 2: a pulse of where folks are out. We're talking about 261 00:14:47,280 --> 00:14:50,400 Speaker 2: these three things, where's everyone out? Which ones do you support? 262 00:14:50,480 --> 00:14:54,000 Speaker 2: And do it via an app. That's a nice way 263 00:14:54,080 --> 00:14:56,240 Speaker 2: of really getting a good feel for things and figuring 264 00:14:56,240 --> 00:14:58,840 Speaker 2: out whether you could go in different directions. You can 265 00:14:58,880 --> 00:15:02,640 Speaker 2: also use that voting to say do you think we 266 00:15:02,680 --> 00:15:04,520 Speaker 2: need to keep talking about this? Are you ready to 267 00:15:04,560 --> 00:15:05,160 Speaker 2: make a decision? 268 00:15:05,240 --> 00:15:05,360 Speaker 1: Right? 269 00:15:05,400 --> 00:15:07,480 Speaker 2: So there's a lot of check ins that can happen 270 00:15:08,040 --> 00:15:11,640 Speaker 2: in a very safe way that allows you to be 271 00:15:11,720 --> 00:15:15,240 Speaker 2: a meeting leader that's sensitive to the broader dynamics, just 272 00:15:15,280 --> 00:15:16,400 Speaker 2: not the loudest voices. 273 00:15:16,920 --> 00:15:19,080 Speaker 1: I love the idea of voting apps. It also makes 274 00:15:19,120 --> 00:15:21,400 Speaker 1: me think of very large meetings, But what is your 275 00:15:21,440 --> 00:15:24,480 Speaker 1: research found in terms of the optimal size for. 276 00:15:24,440 --> 00:15:27,760 Speaker 2: A meeting doesn't exist. There's no such thing as an 277 00:15:27,800 --> 00:15:31,280 Speaker 2: optimal size. It just always comes down to what you're 278 00:15:31,280 --> 00:15:34,800 Speaker 2: trying to achieve, and depending on what you're trying to achieve, 279 00:15:35,560 --> 00:15:39,400 Speaker 2: that determines the size. Now, if it is around decision making, 280 00:15:39,880 --> 00:15:42,440 Speaker 2: you know, once you start passing eight people, it's just 281 00:15:42,560 --> 00:15:45,520 Speaker 2: hard to truly facilitate. You have to be a very 282 00:15:45,560 --> 00:15:49,320 Speaker 2: skilled facilitator to bring out more voices. So that's something 283 00:15:49,360 --> 00:15:52,280 Speaker 2: to keep in mind. If the meeting is more of 284 00:15:52,320 --> 00:15:56,840 Speaker 2: a tell show questions than you know, like a town hall, 285 00:15:56,960 --> 00:15:59,640 Speaker 2: then those meetings can be really large because you're not 286 00:15:59,720 --> 00:16:03,320 Speaker 2: really looking for folks to deeply engage on the content. 287 00:16:04,200 --> 00:16:07,480 Speaker 2: So depending on what you're trying to achieve, that kind 288 00:16:07,480 --> 00:16:10,560 Speaker 2: of determines who needs to be there and who doesn't 289 00:16:10,600 --> 00:16:11,200 Speaker 2: need to be there. 290 00:16:11,360 --> 00:16:13,920 Speaker 1: I'd love to know more about those town hall meetings 291 00:16:14,040 --> 00:16:18,000 Speaker 1: because you know, ideally, well, what you said is that 292 00:16:18,040 --> 00:16:20,600 Speaker 1: the facilitator of the meeting, the leader of the meeting, 293 00:16:21,120 --> 00:16:24,080 Speaker 1: would do best not to talk so much. But typically 294 00:16:24,120 --> 00:16:27,160 Speaker 1: in a town hall, the leaders talk a lot. So 295 00:16:28,000 --> 00:16:29,720 Speaker 1: what does a great townholl look like? 296 00:16:30,360 --> 00:16:32,720 Speaker 2: We just have to remember what town halls do well 297 00:16:32,760 --> 00:16:36,280 Speaker 2: and what they do bad. They're not for discussion. So 298 00:16:36,360 --> 00:16:39,880 Speaker 2: the best town halls are just short and the best 299 00:16:39,880 --> 00:16:45,040 Speaker 2: town halls bring up critical issues and not the superficial issues, 300 00:16:45,080 --> 00:16:47,920 Speaker 2: because the superficial issues could just be handled via email 301 00:16:48,000 --> 00:16:51,720 Speaker 2: or you could record yourself talking. So if you're putting 302 00:16:51,720 --> 00:16:55,360 Speaker 2: people into a context where they're just going to be 303 00:16:55,560 --> 00:16:59,280 Speaker 2: listening to someone talk, I mean, just keep in mind that, 304 00:16:59,760 --> 00:17:01,800 Speaker 2: you know, our batteries for that are pretty darn low. 305 00:17:02,720 --> 00:17:06,000 Speaker 2: So keep it short, keep it really short. 306 00:17:06,400 --> 00:17:08,720 Speaker 1: What does short mean? What is short? 307 00:17:08,920 --> 00:17:11,560 Speaker 2: I think most town halls can be twenty minutes. 308 00:17:12,240 --> 00:17:14,280 Speaker 1: That is a lot shorter than most town halls. 309 00:17:14,520 --> 00:17:17,359 Speaker 2: I suspect, Yeah, I agree. 310 00:17:17,800 --> 00:17:23,160 Speaker 1: What is your opinion on AI tools in meetings? What 311 00:17:23,280 --> 00:17:25,560 Speaker 1: can help us and what can hinder? 312 00:17:25,920 --> 00:17:28,119 Speaker 2: You know, I fully embrace it. I think there's lots 313 00:17:28,119 --> 00:17:31,000 Speaker 2: of possibilities. I think AI could be extremely helpful with 314 00:17:31,040 --> 00:17:34,879 Speaker 2: the scheduling of meetings, finding some good openings for folks 315 00:17:35,240 --> 00:17:40,080 Speaker 2: in thoughtful ways. I think AI is fantastic for capturing 316 00:17:40,119 --> 00:17:43,679 Speaker 2: the meeting notes. We've really gotten better at that. You know, 317 00:17:43,760 --> 00:17:46,840 Speaker 2: even the built in packages into Zoom what have you 318 00:17:47,040 --> 00:17:50,240 Speaker 2: does a great job capturing what are the key takeaways 319 00:17:50,280 --> 00:17:54,199 Speaker 2: from the meeting. It's awesome. I think AI excels with that, 320 00:17:54,840 --> 00:17:58,920 Speaker 2: which is great. Again as a way of managing number 321 00:17:58,960 --> 00:18:05,400 Speaker 2: of attendees. What I'm still struggling with is AI serving 322 00:18:05,400 --> 00:18:10,600 Speaker 2: in any type of facilitation role. So there are startups 323 00:18:10,600 --> 00:18:12,560 Speaker 2: that are playing with that. You know, where the AI 324 00:18:12,920 --> 00:18:16,800 Speaker 2: is putting real time feedback saying, hey, this person hasn't talked, 325 00:18:16,960 --> 00:18:19,520 Speaker 2: or here's who's talking the most, and the leader is 326 00:18:19,560 --> 00:18:23,159 Speaker 2: able to monitor that, you know, then there's AI saying 327 00:18:23,280 --> 00:18:26,960 Speaker 2: you know, actually prompting saying you know that might say, 328 00:18:27,320 --> 00:18:30,679 Speaker 2: you KNOWMANTHD, what do you think? So I'm not as 329 00:18:30,800 --> 00:18:33,119 Speaker 2: keen on that. I want the meeting leader to do that. 330 00:18:33,359 --> 00:18:36,480 Speaker 2: I really do. I don't want to punt that to AI. 331 00:18:37,000 --> 00:18:40,320 Speaker 2: Over time, the AI facilitator is going to get better 332 00:18:40,320 --> 00:18:43,919 Speaker 2: and better and better. But I don't think that fundamentally 333 00:18:45,359 --> 00:18:48,240 Speaker 2: changes the need for the meeting leader to be thoughtful 334 00:18:48,280 --> 00:18:52,560 Speaker 2: in the design and execution of the meeting. So yeah, 335 00:18:52,680 --> 00:18:55,919 Speaker 2: I love use of AI definitely for scheduling and note taking, 336 00:18:55,960 --> 00:18:58,640 Speaker 2: though I think it's very, very helpful. 337 00:19:00,040 --> 00:19:03,399 Speaker 1: I'd love to know about meeting satisfaction because that's something 338 00:19:03,440 --> 00:19:07,360 Speaker 1: that you've measured many, many times. What are the biggest 339 00:19:07,400 --> 00:19:10,919 Speaker 1: predictors of meeting satisfaction? Some of which we might have covered, 340 00:19:10,920 --> 00:19:13,399 Speaker 1: but I'm wondering if there's other things that we haven't covered. 341 00:19:13,920 --> 00:19:18,399 Speaker 2: So participation is a key one. Relevance of the meeting 342 00:19:18,720 --> 00:19:22,600 Speaker 2: is a key one. The leader facilitating definitely a key one. 343 00:19:22,920 --> 00:19:27,119 Speaker 2: The types of participation and listening of other attendees is 344 00:19:27,119 --> 00:19:31,600 Speaker 2: really important. And then interestingly, one of the better predictors 345 00:19:31,600 --> 00:19:33,280 Speaker 2: of meeting satisfaction. 346 00:19:32,720 --> 00:19:33,520 Speaker 1: Is actually food. 347 00:19:34,960 --> 00:19:39,040 Speaker 2: Yeah. Yeah, having food and meetings seems to make people 348 00:19:39,040 --> 00:19:42,960 Speaker 2: pretty darn excited. But I would argue it's not the 349 00:19:43,000 --> 00:19:46,080 Speaker 2: food in and of itself, but food helps people make 350 00:19:46,119 --> 00:19:49,239 Speaker 2: separation from what they were doing before the meeting to 351 00:19:49,280 --> 00:19:51,760 Speaker 2: the meeting itself, which I think allows them to be 352 00:19:51,800 --> 00:19:55,920 Speaker 2: more focused. Food can also elevate mood into a more 353 00:19:55,960 --> 00:19:59,440 Speaker 2: positive direction, which also can lead to a more positive meeting. 354 00:20:00,320 --> 00:20:02,560 Speaker 2: But yeah, snacks can be helpful. 355 00:20:03,680 --> 00:20:05,720 Speaker 1: What else can we do to elevate mood? 356 00:20:05,880 --> 00:20:12,240 Speaker 2: Steven? You know, I think a meeting leader expressing appreciation 357 00:20:12,600 --> 00:20:16,639 Speaker 2: and gratitude sets a really key stage for that. Even 358 00:20:16,720 --> 00:20:21,080 Speaker 2: during trying and difficult times, we can always find opportunities 359 00:20:21,080 --> 00:20:25,040 Speaker 2: to express appreciation and gratitude. So I think starting these 360 00:20:25,080 --> 00:20:28,880 Speaker 2: types of engagements with those types of reflections can get 361 00:20:28,880 --> 00:20:30,879 Speaker 2: people in a really good headspace. 362 00:20:31,560 --> 00:20:36,560 Speaker 1: Hm, I would love to explore what happens after the meeting, 363 00:20:36,800 --> 00:20:40,199 Speaker 1: like what is in our control after the meeting ends, 364 00:20:40,960 --> 00:20:43,280 Speaker 1: to make sure that it was time will spent. 365 00:20:44,000 --> 00:20:47,200 Speaker 2: If the meeting has a proper ending, like I mentioned, 366 00:20:47,200 --> 00:20:52,520 Speaker 2: with things being recorded and DRIs being identified, the chances 367 00:20:52,560 --> 00:20:57,159 Speaker 2: of action happening is so much higher. So it really 368 00:20:57,160 --> 00:21:00,919 Speaker 2: comes down to that ending and doing it well. You know, 369 00:21:01,000 --> 00:21:04,040 Speaker 2: once that's documented, then the leader is very well positioned 370 00:21:04,040 --> 00:21:07,840 Speaker 2: to follow up and make sure that these things actually happen. 371 00:21:09,040 --> 00:21:11,720 Speaker 2: But so often at the end of the meeting, you know, 372 00:21:11,800 --> 00:21:14,280 Speaker 2: people are actually not clear what was decided, They're not 373 00:21:14,359 --> 00:21:19,240 Speaker 2: clear who's responsible, so action doesn't happen and leaders don't 374 00:21:19,280 --> 00:21:22,879 Speaker 2: follow up. So having that proper ending just increases the 375 00:21:22,960 --> 00:21:24,640 Speaker 2: chances of all those things happening. 376 00:21:24,760 --> 00:21:27,920 Speaker 1: Are there ways that you encourage people to just keep 377 00:21:27,960 --> 00:21:31,000 Speaker 1: track on this was an action that came out of 378 00:21:31,040 --> 00:21:34,160 Speaker 1: the meeting, and so we need to track that or 379 00:21:34,480 --> 00:21:35,439 Speaker 1: do we just have trust? 380 00:21:35,720 --> 00:21:38,280 Speaker 2: You know, I think trust is great and I think 381 00:21:38,359 --> 00:21:43,919 Speaker 2: should always be the lead strategy. But there's no reason 382 00:21:44,000 --> 00:21:48,360 Speaker 2: why the meeting outcomes can't be recorded into an asynchronous 383 00:21:48,359 --> 00:21:51,439 Speaker 2: document that everyone can look and track, and people can 384 00:21:51,520 --> 00:21:55,600 Speaker 2: provide updates of how what the progress they're making. So 385 00:21:55,680 --> 00:21:59,600 Speaker 2: I think that's perfectly fine action to take, and I 386 00:21:59,600 --> 00:22:00,960 Speaker 2: think people generally welcome it. 387 00:22:01,160 --> 00:22:03,080 Speaker 1: I'd love to know from all the research that you 388 00:22:03,160 --> 00:22:07,040 Speaker 1: have done, what have been some of the more surprising 389 00:22:07,160 --> 00:22:09,920 Speaker 1: findings that you found in your research. Well. 390 00:22:09,920 --> 00:22:13,320 Speaker 2: I think it's always surprising that agendas in and of 391 00:22:13,359 --> 00:22:17,000 Speaker 2: themselves do not improve meeting quality. I think that's something 392 00:22:17,040 --> 00:22:20,800 Speaker 2: that's surprising, but when people reflect, it's not much of 393 00:22:20,800 --> 00:22:23,760 Speaker 2: a surprise because so many agendas are just recycled meeting 394 00:22:23,800 --> 00:22:26,520 Speaker 2: to meeting. And then what matters more is what's on 395 00:22:26,560 --> 00:22:29,240 Speaker 2: the agenda, right, is it truly compelling? And what matters 396 00:22:29,280 --> 00:22:32,200 Speaker 2: even more is how you facilitate discussion of that agenda. 397 00:22:32,280 --> 00:22:34,119 Speaker 2: So this idea of just having a piece of paper 398 00:22:34,400 --> 00:22:38,000 Speaker 2: with topics isn't all that inspirational. This is why in 399 00:22:38,080 --> 00:22:42,760 Speaker 2: my book I titled the chapter agendas are a Hollow Crutch, 400 00:22:43,240 --> 00:22:45,639 Speaker 2: because so often leaders think by having an agenda that 401 00:22:45,680 --> 00:22:48,760 Speaker 2: they're a good meeting leader, and they're not. So that 402 00:22:48,800 --> 00:22:52,240 Speaker 2: to me is kind of a fun surprising finding. Another 403 00:22:52,720 --> 00:22:55,680 Speaker 2: I think interesting finding is to me has always been 404 00:22:55,720 --> 00:22:58,560 Speaker 2: this idea that when you survey people coming out of 405 00:22:58,560 --> 00:23:02,080 Speaker 2: a meeting, there is one person who says that was 406 00:23:02,119 --> 00:23:05,800 Speaker 2: really good, and that person is the leading leader, the 407 00:23:05,800 --> 00:23:09,200 Speaker 2: meeting leader. The meeting leader seems to have this inflated 408 00:23:09,320 --> 00:23:12,280 Speaker 2: sense of how well the meeting went, and why wouldn't 409 00:23:12,280 --> 00:23:14,960 Speaker 2: they right, they are talking as much as they want. 410 00:23:15,680 --> 00:23:19,679 Speaker 2: And so this disconnect, though, I think is really important 411 00:23:20,200 --> 00:23:24,080 Speaker 2: because given this disconnect, meeting leaders aren't all that motivated 412 00:23:24,359 --> 00:23:27,119 Speaker 2: to make many changes to how they run meetings because 413 00:23:27,160 --> 00:23:30,639 Speaker 2: they think it went pretty well. So overall, they generally 414 00:23:30,640 --> 00:23:34,320 Speaker 2: think the meeting problem is due to others, not themselves. 415 00:23:34,880 --> 00:23:38,480 Speaker 1: How can we overcome that? How can we give leaders 416 00:23:39,040 --> 00:23:41,439 Speaker 1: a bit more of a clear idea of what's going on? 417 00:23:41,680 --> 00:23:46,520 Speaker 2: Yeah, So, like I'm working with this company called Cairos Kairos, 418 00:23:47,280 --> 00:23:50,760 Speaker 2: and it's a Canadian company. They're really cool and basic. 419 00:23:50,840 --> 00:23:53,760 Speaker 2: What they do is they've created a solution where leaders 420 00:23:53,800 --> 00:23:56,399 Speaker 2: can actually see how they are at running meetings and 421 00:23:56,400 --> 00:23:59,679 Speaker 2: then they're given feedback and they're provided with tools and 422 00:23:59,720 --> 00:24:03,919 Speaker 2: tricks and tips to address the feedback they received. So 423 00:24:05,119 --> 00:24:08,399 Speaker 2: a technology solution, I think is a great way of 424 00:24:08,520 --> 00:24:13,040 Speaker 2: addressing the issue. But then there's lower fidelity solutions as well. So, 425 00:24:13,160 --> 00:24:16,600 Speaker 2: for example, the meeting leader can every once in a while, 426 00:24:16,640 --> 00:24:19,359 Speaker 2: survey their people and ask them what's going well, not 427 00:24:19,440 --> 00:24:21,440 Speaker 2: so well, and ideas for making the meetings better. 428 00:24:21,840 --> 00:24:22,000 Speaker 1: Right. 429 00:24:22,080 --> 00:24:25,720 Speaker 2: Meetings are shared experiences. Leaders know that people are frustrated 430 00:24:25,720 --> 00:24:28,920 Speaker 2: by meetings, so if you position yourself there's someone interested 431 00:24:28,920 --> 00:24:31,520 Speaker 2: in solving it. It's a great reflection on you. 432 00:24:31,920 --> 00:24:34,920 Speaker 1: I love that advice, Steven. I am so glad that 433 00:24:34,960 --> 00:24:37,639 Speaker 1: you agreed to meet with me for a second time. 434 00:24:38,000 --> 00:24:41,040 Speaker 1: You are such a fountain of knowledge when it comes 435 00:24:41,040 --> 00:24:44,000 Speaker 1: to meetings, and I so appreciate your time. I hope 436 00:24:44,000 --> 00:24:46,119 Speaker 1: I've used it respectfully. I let you do most of 437 00:24:46,119 --> 00:24:47,679 Speaker 1: the talking, so I did that. 438 00:24:49,040 --> 00:24:52,080 Speaker 2: Yeah, you're a great facilitator. I totally feel so, and 439 00:24:52,160 --> 00:24:54,640 Speaker 2: that's why I decided to do it again. So thank 440 00:24:54,680 --> 00:24:57,680 Speaker 2: you appreciate it, and yeah, thank you for helping bring 441 00:24:57,720 --> 00:24:58,960 Speaker 2: the science to your audience. 442 00:24:59,080 --> 00:25:02,080 Speaker 1: Thank you so much. I hope you love this chat 443 00:25:02,080 --> 00:25:05,200 Speaker 1: with Stephen as much as I did. There are definitely 444 00:25:05,280 --> 00:25:08,080 Speaker 1: a few strategies I think we can all implement into 445 00:25:08,119 --> 00:25:11,800 Speaker 1: our next meeting. If you want to learn more about Stephen, 446 00:25:11,880 --> 00:25:17,000 Speaker 1: you can check out his website Stepnogelberg dot com. He 447 00:25:17,080 --> 00:25:20,600 Speaker 1: has a ton of resources there to help you out 448 00:25:20,600 --> 00:25:23,280 Speaker 1: with your next meeting, as well as links to his books, 449 00:25:23,359 --> 00:25:26,840 Speaker 1: which are awesome and believe it or not, he doesn't 450 00:25:26,840 --> 00:25:29,000 Speaker 1: make a single cent from his book sales because he 451 00:25:29,040 --> 00:25:32,719 Speaker 1: donates everything he makes from them to cancer research. You 452 00:25:32,720 --> 00:25:35,720 Speaker 1: can find a link to his website in the show notes. 453 00:25:36,359 --> 00:25:39,080 Speaker 1: If you like today's show, make sure you get follow 454 00:25:39,240 --> 00:25:42,720 Speaker 1: on your podcast app to be alerted when new episodes drop. 455 00:25:43,280 --> 00:25:45,800 Speaker 1: How I Work was recorded on the traditional land of 456 00:25:45,800 --> 00:25:48,000 Speaker 1: the Warrangery people, part of the cool And Nation.